This paper proposes a robust and secure watermarking method for a color image in Y CbCr color space. In this study, watermarking is performed using Lifting Wavelet Transform (LWT). Here, edge entropy and information entropy is used to find the block to embed watermark. In this work alpha blending scheme is used for embedding and extraction of watermarks in the LWT domain. The use of LWT makes the proposed

The wide availability of easy-to-use image editors has made the authenticity of images questionable. Copy-move is one of the most applied forgery types. A new copy-move forgery detection and localization technique independent from the characteristics of the forged regions is proposed in this paper. SIFT keypoints are obtained from CLAHE applied sub-images extracted from the input image by using RGB

The fast development of communication and technology has created new challenges to transfer data securely. The techniques widely used to secure the data are cryptography and steganography. This paper presents a video steganography method to secure the information to be transmitted. Information transmitted can be an image, audio, text or video. This article presents a new technique that embeds data

Camouflaged communication using a media is known as Steganography. It is different than encryption as the presence of message is also concealed in case of steganography. The message however can be encrypted before hiding in a media. Detection of concealed exchange being carried out or unraveling the details of such transmission is known as Steganalysis. Steganalysis can be detected by classifying the

The Joint Video Exploration Team (JVET) has started to develop the next-generation video coding standard-H.266/Versatile Video Coding (H.266/VVC) based on H.265/High Efficiency Video Coding (H.265/HEVC) to provide higher compression performance. The H.266/VVC supports the flexible quadtree with a nested multi-type tree (QTMT) partition structure including quadtree (QT), binary tree (BT), and ternary

Accurate and timely predicting citywide traffic crowd flows precisely is crucial for public safety and traffic management in smart cities. Nevertheless, its crucial challenge lies in how to model multiple complicated spatial dependencies between different regions, dynamic temporal laws among different time intervals with external factors such as holidays, events, and weather. Some existing work leverage

Auto understanding of human activities in video is an increasing necessity in some application realms. The existing methods for human’s activity identification are divided into two methods: activity recognition and activity detection. The most important challenge in activity detection realm is activity boundary false detection which decreases system accuracy. In this research, an activity detection

In order to improve the key space of color image encryption algorithm, the sensitivity to the contents of plain images, the robustness against various types of known attacks, and to achieve the tamper location analysis, a novel color image encryption algorithm based on image hashing, six-dimensional (6D) hyperchaotic and dynamic DNA coding is proposed. Firstly, the color image is pre-processed and

Biometric technologies such as the face, fingerprint, and iris recognition have important utility in biomedical and healthcare applications. The use of biometrics in these applications ensures that critical medical information and access to secure premises and medical instruments is given only to authorized persons. In the past, the 2D face has been reliably used as biometrics in biomedical and healthcare

Robust and high-performance visual multi-object tracking is a big challenge in computer vision, especially in a drone scenario. In this paper, an online Multi-Object Tracking (MOT) approach in the UAV system is proposed to handle small target detections and class imbalance challenges, which integrates the merits of deep high-resolution representation network and data association method in a unified

We consider medical image transformation problems where a grayscale image is transformed into a color image. The colorized medical image should have the same features as the input image because extra synthesized features can increase the possibility of diagnostic errors. In this paper, to secure colorized medical images and improve the quality of synthesized images, as well as to leverage unpaired

Recently, a new image encryption-scheme for embedded systems based on continuous third-order hyperbolic sine chaotic system, has been proposed. The cryptosystem’s main objective was to provide a lightweight cryptographic application for use in embedded systems, especially on a UAV (unmanned aerial vehicle) program. In this paper, we scrutinized the design and structure of this cryptosystem, and we

The existing chaotic image encryption algorithms have common defects: (i) ciphertext does not participate in the generation processes of chaotic pseudo-random sequences and key sequences; (ii) the entire encryption process does not have a closed-loop structure. In order to solve above problems, in this paper, an image segmentation encryption algorithm based on hyperchaotic system is proposed. We decompose

Breast cancer is one of the most common types of cancer among Jordanian women. Recently, healthcare organizations in Jordan have adopted electronic health records, which makes it feasible for researchers to access huge amounts of medical records. The goal of this study is to predict the recurrence of breast cancer using machine learning algorithms. We developed a Natural Language Processing algorithm

The anchor-free based face detection methods can cover a large range of scales and perform better in the speed. However, their performance still bears a large gap compared with anchor-based methods, especially for detecting small faces. Because they are troubled by the context modeling and scale imbalance problems. In this study, to address these problems, we propose a novel single shot anchor-free

This paper suggests two novel presented cancellable biometric realization approaches recognition and template protection. In the suggested scheme, the A Trous Transform (AT) algorithm is applied on the face images. Then the AT divides the image into seven subbands. The resultant map is encrypted with the Homomorphic Filtering Masking (HFM) encoding algorithm is utilized for cancelable face recognition

3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and preservation. Related to historical fabrics, weaves and weaving techniques are still mostly represented in forms of 2D graphics and textual descriptions. However, complex geometries are difficult to represent in such forms, hindering the way this legacy

To increase transfer and storage efficiencies of the information, data compression has emerged as a significant issue in the communication environments. This paper introduces compression and encryption of speech signals based on Discrete Wavelet Transform (DWT) and Chaotic signals. DWT sparsens and codes the speech signal to the wavelet coefficients. The less impactful coefficients are eliminated to

The copyright protection of three-dimensional (3D) content is a matter of interest in artistic and creative works due to the rights of the holder for the distribution of the material. However, although stereo images are widely used for the generation of 3D content, there is a little amount of research focused on copyright protection for this type of image. In this study, a novel invisible and blind

Social media networks usage is spreading but accompanied by a new shape of the social engineering attacks in which users’ accounts are compromised by attackers to spread malicious messages for different purposes. To overcome these attacks, authorship verification, a classification problem for classifying a text, whether it belongs to a user or not, is needed. Moreover, the verification must be accurate

The aim of this paper is to explore a robust method for vowel region detection from multimode speech. In realistic scenario, speech can be classified into three modes namely; conversation, extempore, and read. The existing method detects the vowel form the speech recorded in clean environment which may not be appropriate for the multimode speech tasks. To address this issue, we proposed an approach

This paper proposes a dual encoding approach with sequence folding for reversible data hiding in dual stego images. This method initially encodes the secret data by creating two encoding tables that contain index as well as code sequence based on message intensities and the two encoding tables are updated. The code sequence in the second encoding table is folded if the preceding half or succeeding

In this paper, an approach for Facial Expressions Recognition (FER) based on a multi-facial patches (MFP) aggregation network is proposed. Deep features are learned from facial patches using convolutional neural sub-networks and aggregated within one architecture for expression classification. Besides, a framework based on two data augmentation techniques is proposed to expand FER labels training datasets

A rapid increase in brain tumor cases mandates researchers for the automation of brain tumor detection and diagnosis. Multi-tumor brain image classification became a contemporary research task due to the diverse characteristics of tumors. Recently, deep neural networks are commonly used for medical image classification to assist neurologists. Vanishing gradient problem and overfitting are the demerits

During the last years, the problem of Content-Based Image Retrieval (CBIR) was addressed in many different ways, achieving excellent results in small-scale datasets. With growth of the data to evaluate, new issues need to be considered and new techniques are necessary in order to create an efficient yet accurate system. In particular, computational time and memory occupancy need to be kept as low as

Online social media is a powerful source of information that can influence users’ decisions. Due to the huge volume of data generated by such media, many researches have been done to automate text categorization. However, finding useful information to satisfy user’s needs is not an easy task. There are many challenges to overcome especially in short text categorization that in addition to being a time-consuming

The development of the Internet, together with the progress of multimedia processing techniques, has led to the problems of data piracy, data tampering and illegal dissemination. Digital watermarking is an effective approach to data authentication and copyright protection. This paper proposes a geometrically robust multi-bit video watermarking algorithm based on 2-D DFT (two-dimensional discrete Fourier

An uncontrollable growth of abnormal cells in the brain may result in brain tumor. Two different categories of brain tumor are benign and malignant. The doctors need to provide an efficient treatment for tumor affected patients, usually, the treatment process for both the types of tumors are different, as these two types may show diverse properties. Therefore it is necessary to accurately segment and

Machine learning based saliency detection methods have achieved better performance than traditional methods. Here, we propose a machine learning based method that utilizes Convex Hull and Extreme Learning Machine (ELM) for detecting salient object(s) in an image. The novelty of the proposed method lies in the generation of training set without using human annotations. Initially, an input image is segmented

In emotion-aware music recommender systems, the user’s current emotion is identified and considered in recommending music to him. We have two motivations to extend the existing systems: (1) to the best of our knowledge, the current systems first estimate the user’s emotions and then suggest music based on it. Therefore, the emotion estimation error affects the recommendation accuracy. (2) Studies show

There is always a need for an updated systematic review of a special subject area because of its importance for the researchers and the interested audience. This paper presents a review of medical image authentication (MIA) which is an interesting application of medical image watermarking techniques. The main objectives of medical image authentication techniques are protecting the medical images from

Digital watermarking technology, as a powerful tool for copyright protection and content authentication of multimedia works, has received increasing attention, and the current image watermarking technology has developed significantly. Generally, embedding a watermark is done in grayscale images, mainly due to the fact that grayscale images are easier to process than color images, and grayscale images

To analyze multivariate time series, research through dimension reduction is being conducted, but flexible dimension reduction cannot be achieved by reflecting the characteristics or types of data. This paper proposed a Deep Bidirectional Similarity Learning model (DBSL) that predicts similarities for multivariate time series clustering. This model is a feature extraction-based on Convolutional Neural

This work introduces a computational method for the recognition of structural elements in architectural floor plans. The proposed method requires minimal user interaction and is capable of effectively analysing floor plans in order to identify different types of structural elements in various notation styles. It employs feature extraction based on Haar kernels and PU learning, in order to retrieve

Person detection is often critical for personal safety, property protection, and national security. Most person detection technologies implement unimodal classification, making predictions based on a single sensor data modality, which is most often vision. There are many ways to defeat unimodal person detectors, and many more reasons to ensure technologies responsible for detecting the presence of

Social media platforms are becoming a rich source of valuable information through sharing and publishing user generated reviews and comments. The identification and extraction of subjective information from a piece of text is a crucial challenge in sentiment analysis. Numerous techniques have been proposed that aimed to analyze the sentiments of the text. However, accuracy was compromised due to inadequate

In this paper, an effective method named Exponential Fractional-Cat Swarm Optimization (Exponential Fractional-CSO) along with multi-objective cost function is proposed. The proposed method is designed by integrating the CSO with the fractional concept based on the Exponential parameters. Initially, an input video is selected from the database from which frames are generated. Key frames are chosen

With the recognition of free apps, Android has become the most widely used smartphone operating system these days and it naturally invited cyber-criminals to build malware-infected apps that can steal vital information from these devices. The most critical problem is to detect malware-infected apps and keep them out of Google play store. The vulnerability lies in the underlying permission model of

India is among the largest cultivators and consumers of wheat grains leading to apparent demand for identifying the quality and varietal distribution of wheat to fulfill the specific requirements of food industries. Moreover, with the variations in prices of distinct varieties in different parts of the country, it becomes a vital need for the customers as well as for the cultivators to identify and

In this paper, a new scrambling algorithm is proposed to reduce the correlation between the image pixels in three directions. In this paper, this algorithm is called ladder scrambling, and the image is scrambled multiple times in the form of diagonal lines. In terms of diffusion, DNA coding is used, and the secondary processing of the image is performed through DNA coding to change the pixel value

Intelligent transportation systems (ITS) are the integration of information and communications technologies with applications which are significant in traffic control and management. The increased number of on road vehicles in urban areas urges the need of development of automated methods for traffic management. Vehicle identification, classification and analysis enable the intelligent transportation

Protection of intellectual property rights has become one of the focuses of social concerning. To reduce those disputations, the watermark is implanted into the media by the content owner to declare original copyright. Among which, the high payload can achieve the accurate tampering localization, but maybe bring low visual quality watermarked image. Both accurate tampering localization and high watermarked

In this paper, a novel chaos-based dynamic encryption scheme with a permutation-substitution structure is presented. The S-boxes and P-boxes of the scheme are constructed with chaotic transformation and Rubik cube-based permutation to enrich the security, sensitivity, and robustness of the scheme. We use chaotic map and Feistel network to generate our block cipher. The purpose of using a Feistel network

With the rapid advancement in digital technologies, video rises to become one of the most effective communication tools that continues to gain popularity and importance. As a result, various proposals are put forward to manage videos, and one of them is data embedding. Essentially, data embedding inserts data into the video to serve a specific purpose, including proof of ownership via watermark, covert

The notion of visual cryptography was introduced without formalisms by Naor and Shamir in 1994. It provides a very powerful technique by which one secret can be distributed into two or more shares, when the shares on transparencies are superimposed exactly together, the original secret can be discovered without computer participation. In this paper, master or universal shares defined by some suitable

Today, it has become very easy to manipulate digital images using image processing tools and software such as Adobe Photoshop (https://www.adobe.com/products/photoshop.html). Tampering with images by splicing is an operation that consists of cutting-and-pasting an area of an image into another host image. In this paper, we propose to detect and localize such manipulations by analyzing the correlation

The texture is an essential characteristic of the image. So, recognition of texture is increasingly becoming a major topic in many image processing applications such as image retrieving, image classification, similarity, object recognition, and detection. The recognition of texture tries to allocate an unidentified image to one of the identified class of textures. This paper proposes a novel feature

The main goal of this systematic review is to synthesize existing evidence on the use of immersive virtual reality (IVR) to train professionals as well as to identify the main gaps and challenges that still remain and need to be addressed by future research. Following a comprehensive search, 66 documents were identified, assessed for relevance, and analysed. The main areas of application of IVR-based

Image inpainting is a common technique for repairing image regions that are scratched or damaged. This process involves reconstructing damaged parts and filling-in regions in which data/colour information is missing. There are many potential applications for image inpainting, such as repairing old images, repairing scratched images, removing unwanted objects, and filling-in missing areas. This paper

Fraudulent online sellers often collude with reviewers to garner fake reviews for their products. This act undermines the trust of buyers in product reviews, and potentially reduces the effectiveness of online markets. Being able to accurately detect fake reviews is, therefore, critical. In this study, we investigate several preprocessing and textual-based featuring methods along with machine learning

Training and validation sets of labeled data are important components used in supervised learning to build a classification model. During training, most learning algorithms use all images from the given training set to estimate the model’s parameters. Particularly for video classification, it is required a keyframe extraction technique in order to select representative frames for training, which commonly

In this paper, we propose a reversible data hiding scheme using (5, 3) Hamming code. A cover image is partitioned into blocks of five pixels. An adjusted (5, 3) Hamming code method is then applied to find a possible modification position in these blocks to conceal message bits. The estimated position is used to determine the started pixel in the next block and this pixel may belong to the current block

A Correction to this paper has been published: https://doi.org/10.1007/s11042-020-10464-w

This study aims to investigate the morphological characteristics of mature follicles with clinical value. The five morphological indexes of follicles in 72 natural ovulation cycles were measured. The shoot time of follicle photos was the day before ovulation. Measurement software was the MATLAB Image Processing Toolbox. The measured average area, perimeter, equivalent circle diameter, and roundness

Recently, data hiding techniques have become very popular in several vital applications, especially in telemedicine. The reason for this is their ability to give good results such as high embedding capacity while preserving visual image quality as much as possible after extracting the hidden secret message. In earlier studies, many researchers have achieved the goal of reversible data hiding (RDH)

Industrial Control System is used in the industrial process for reducing the human factor burden and handling the complex industrial system process and communications between them efficiently. Internet of Things (IoT) is the fusion of devices and sensors by an information network to enable new and autonomous capabilities. The integration of IoT with industrial applications known as the Industrial Internet

Despite of the recent progresses in reliable and high bandwidth communication, packet loss is still probable and needs special attention in real-time video streaming applications. Congestion and bit error rate, which sometimes are more than the protection capability of the channel codes, are the sources of packet loss in video communication. One common approach to deal with video packet loss is to

Multi-spectralimages suffers from out-of-focusblur due to well focused camera at the reference imaging channel. A framework for out-of-focus images de-blurring using texture extraction and modified Fourier transform is proposed. The texture is extracted from the blurred image using region covariance. Fourier transform is modified by modification of guided image (as prior) using L0 gradient projection

Sentiment analysis is a process of analysis, processing, induction, and reasoning of subjective text with emotional color. It is a research direction of Natural Language Processing (NLP). It is often used to extract the attitudes towards someone or something of people. That can help users find potential problems to improve or predict. As one of the main resources of online media data, film review information

Chinese named entity recognition has been widely used in many fields, such as species recognition in marine information, and so on. Compared with the standard named entity recognition (NER), the performance of the Chinese marine named entity recognition is low, which is mainly limited by the normative nature of the text and the scale of the tagged corpus. In recent years, the research of named entity